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Microbiology, 2021

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7.5 • Using Biochemistry to Identify Microorganisms 279<br />

results often inform decisions about treatment that directly affect patient outcomes. For example, cases of food<br />

poisoning require accurate identification of the causative agent so that physicians can prescribe appropriate<br />

treatment. Likewise, it is important to accurately identify the causative pathogen during an outbreak of disease<br />

so that appropriate strategies can be employed to contain the epidemic.<br />

There are many ways to detect, characterize, and identify microorganisms. Some methods rely on phenotypic<br />

biochemical characteristics, while others use genotypic identification. The biochemical characteristics of a<br />

bacterium provide many traits that are useful for classification and identification. Analyzing the nutritional<br />

and metabolic capabilities of the bacterial isolate is a common approach for determining the genus and the<br />

species of the bacterium. Some of the most important metabolic pathways that bacteria use to survive will be<br />

discussed in Microbial Metabolism. In this section, we will discuss a few methods that use biochemical<br />

characteristics to identify microorganisms.<br />

Some microorganisms store certain compounds as granules within their cytoplasm, and the contents of these<br />

granules can be used for identification purposes. For example, poly-β-hydroxybutyrate (PHB) is a carbon- and<br />

energy-storage compound found in some nonfluorescent bacteria of the genus Pseudomonas. Different<br />

species within this genus can be classified by the presence or the absence of PHB and fluorescent pigments.<br />

The human pathogen P. aeruginosa and the plant pathogen P. syringae are two examples of fluorescent<br />

Pseudomonas species that do not accumulate PHB granules.<br />

Other systems rely on biochemical characteristics to identify microorganisms by their biochemical reactions,<br />

such as carbon utilization and other metabolic tests. In small laboratory settings or in teaching laboratories,<br />

those assays are carried out using a limited number of test tubes. However, more modern systems, such as the<br />

one developed by Biolog, Inc., are based on panels of biochemical reactions performed simultaneously and<br />

analyzed by software. Biolog’s system identifies cells based on their ability to metabolize certain biochemicals<br />

and on their physiological properties, including pH and chemical sensitivity. It uses all major classes of<br />

biochemicals in its analysis. Identifications can be performed manually or with the semi- or fully automated<br />

instruments.<br />

Another automated system identifies microorganisms by determining the specimen’s mass spectrum and then<br />

comparing it to a database that contains known mass spectra for thousands of microorganisms. This method<br />

is based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and<br />

uses disposable MALDI plates on which the microorganism is mixed with a specialized matrix reagent (Figure<br />

7.26). The sample/reagent mixture is irradiated with a high-intensity pulsed ultraviolet laser, resulting in the<br />

ejection of gaseous ions generated from the various chemical constituents of the microorganism. These<br />

gaseous ions are collected and accelerated through the mass spectrometer, with ions traveling at a velocity<br />

determined by their mass-to-charge ratio (m/z), thus, reaching the detector at different times. A plot of<br />

detector signal versus m/z yields a mass spectrum for the organism that is uniquely related to its biochemical<br />

composition. Comparison of the mass spectrum to a library of reference spectra obtained from identical<br />

analyses of known microorganisms permits identification of the unknown microbe.<br />

Figure 7.26 MALDI-TOF methods are now routinely used for diagnostic procedures in clinical microbiology laboratories. This technology<br />

is able to rapidly identify some microorganisms that cannot be readily identified by more traditional methods. (credit “MALDI plate photo”:<br />

modification of work by Chen Q, Liu T, Chen G; credit “graphs”: modification of work by Bailes J, Vidal L, Ivanov DA, Soloviev M)

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